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Title:Optimizacija z algoritmom kresnic : diplomsko delo
Authors:ID Škrilec, Marko (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
Files:.pdf VS_Skrilec_Marko_2019.pdf (1,44 MB)
MD5: 23F94AFB2C1F38BBFAEA76B1DF0C0319
PID: 20.500.12556/dkum/7b77cabd-8d4b-4395-8bec-68878a39aac0
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo je sestavljeno iz dveh delov, teoretičnega in empiričnega. V teoretičnem delu je predstavljena inteligenca rojev in njene temeljne značilnosti. V nadaljevanju je podrobneje opisan algoritem kresnic, njegove značilnosti in področja uporabe algoritma kresnic. V empiričnem delu se osredinimo na eksperiment, pri katerem spreminjamo različne nadzorne parametre algoritma kresnic. Rezultate optimizacije predstavljamo v obliki tabel, v katerih podamo krajše komentarje rezultatov. V zaključku predstavimo svoje ugotovitve in napotke za nadaljnje delo.
Keywords:algoritmi, algoritem kresnic, biološki sistemi, inteligenca rojev, optimizacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Škrilec]
Year of publishing:2019
Number of pages:III, 29 f.
PID:20.500.12556/DKUM-74846 New window
UDC:004.8.021(043.2)
COBISS.SI-ID:22913302 New window
NUK URN:URN:SI:UM:DK:6MIZ2NB9
Publication date in DKUM:22.11.2019
Views:1083
Downloads:147
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
ŠKRILEC, Marko, 2019, Optimizacija z algoritmom kresnic : diplomsko delo [online]. Bachelor’s thesis. Maribor : M. Škrilec. [Accessed 27 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=74846
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:09.09.2019

Secondary language

Language:English
Title:Firefly algorithm for optimization
Abstract:This undergraduate thesis is comprised of a theoretical and empirical part. The theoretical part presents the swarm intelligence and its fundamental characteristics; it also presents in detail the firefly algorithm, its characteristics and use. The empirical part focuses on an experiment in which we change the various control parameters of the firefly algorithm. The results of the optimization are presented in the form of tables, which contain short comments of the results. The findings and the directions for further work are presented in the conclusion.
Keywords:algorithms, biological systems, firefly algorithm, optimization, swarm intelligence


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